From 97d1b32162f93cce749113fd3e84c48a05ef4343 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 29 May 2024 12:01:04 -0500
Subject: [PATCH] snapshot...
---
modules/contrail/util.py | 12 +++++-------
1 file changed, 5 insertions(+), 7 deletions(-)
diff --git a/modules/contrail/util.py b/modules/contrail/util.py
index fa2d6737..720037b2 100644
--- a/modules/contrail/util.py
+++ b/modules/contrail/util.py
@@ -53,13 +53,6 @@ def extract(mask_image, image_ts, clavrx_path):
contrail_idxs = (mask_image == 1).flatten()
- # Assuming GOES FD for now -------------------
- # elems, lines = np.meshgrid(np.arange(5424), np.arange(5424))
- # lines, elems = lines.flatten(), elems.flatten()
- # See note above regarding support for GOES-18
- # contrail_lines, contrail_elems = lines[contrail_idxs], elems[contrail_idxs]
- # contrail_lons, contrail_lats = geos_nav.lc_to_earth(contrail_elems, contrail_lines)
-
contrail_press = cloud_top_press[contrail_idxs]
contrail_lons, contrail_lats = clvrx_lons[contrail_idxs], clvrx_lats[contrail_idxs]
@@ -140,6 +133,7 @@ def extract(mask_image, image_ts, clavrx_path):
# Create pandas DataFrame for each list of tuples in voxel_dict
voxel_dict_df = {}
for k, v in voxel_dict.items():
+ print(k, len(v))
df = pd.DataFrame(v, columns=["pressure", "lat", "lon", "horz_wind_shear", "static_stability", "horz_wind_speed", "vert_wind_shear"])
voxel_dict_df[k] = df
@@ -151,6 +145,10 @@ def extract(mask_image, image_ts, clavrx_path):
return all_df
+def analyze(dataFrame):
+ pass
+
+
--
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